1. Acceso a Internet Fijo por rangos de velocidad de bajada y provincia

Dataset statistics

Number of variables	12
Number of observations	792
Missing cells	6
Missing cells (%)	0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	74.4 KiB
Average record size in memory	96.2 B

Variable types

Numeric	7
Categorical	5

Alerts

`+ 1 Mbps - 6 Mbps` has a high cardinality: 783 distinct values	High cardinality
`+ 30 Mbps` has a high cardinality: 503 distinct values	High cardinality
`Total` has a high cardinality: 787 distinct values	High cardinality
`Año` is highly overall correlated with `OTROS`	High correlation
`OTROS` is highly overall correlated with `Año`	High correlation
`Provincia` is uniformly distributed	Uniform
`+ 1 Mbps - 6 Mbps` is uniformly distributed	Uniform
`Total` is uniformly distributed	Uniform
`+ 512 Kbps - 1 Mbps` has 50 (6.3%) zeros	Zeros
`+ 6 Mbps - 10 Mbps` has 38 (4.8%) zeros	Zeros
`+ 10 Mbps - 20 Mbps` has 71 (9.0%) zeros	Zeros
`+ 20 Mbps - 30 Mbps` has 104 (13.1%) zeros	Zeros
`OTROS` has 449 (56.7%) zeros	Zeros

Reproduction

Analysis started	2023-01-03 16:52:35.113411
Analysis finished	2023-01-03 16:52:40.125128
Duration	5.01 seconds
Software version	pandas-profiling vv3.6.2
Download configuration	config.json

Año
Real number (ℝ)

Distinct	9
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2017.6364

Minimum	2014
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.3 KiB

Quantile statistics

Minimum	2014
5-th percentile	2014
Q1	2016
median	2018
Q3	2020
95-th percentile	2021
Maximum	2022
Range	8
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.3860299
Coefficient of variation (CV)	0.0011825867
Kurtosis	-1.1859202
Mean	2017.6364
Median Absolute Deviation (MAD)	2
Skewness	0.031978903
Sum	1597968
Variance	5.6931387
Monotonicity	Decreasing

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2021	96	12.1%
2020	96	12.1%
2019	96	12.1%
2018	96	12.1%
2017	96	12.1%
2016	96	12.1%
2015	96	12.1%
2014	96	12.1%
2022	24	3.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2014	96	12.1%
2015	96	12.1%
2016	96	12.1%
2017	96	12.1%
2018	96	12.1%
2019	96	12.1%
2020	96	12.1%
2021	96	12.1%
2022	24	3.0%

Value	Count	Frequency (%)
2022	24	3.0%
2021	96	12.1%
2020	96	12.1%
2019	96	12.1%
2018	96	12.1%
2017	96	12.1%
2016	96	12.1%
2015	96	12.1%
2014	96	12.1%

Trimestre
Categorical

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	6.3 KiB

1	216
4	192
3	192
2	192

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	792
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	216	27.3%
4	192	24.2%
3	192	24.2%
2	192	24.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	216	27.3%
4	192	24.2%
3	192	24.2%
2	192	24.2%

Most occurring characters

Value	Count	Frequency (%)
1	216	27.3%
4	192	24.2%
3	192	24.2%
2	192	24.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	792	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	216	27.3%
4	192	24.2%
3	192	24.2%
2	192	24.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	792	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	216	27.3%
4	192	24.2%
3	192	24.2%
2	192	24.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	792	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	216	27.3%
4	192	24.2%
3	192	24.2%
2	192	24.2%

Provincia
Categorical

Distinct	24
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	6.3 KiB

Buenos Aires	33
Capital Federal	33
Tierra Del Fuego	33
Santiago Del Estero	33
Santa Fe	33
Other values (19)	627

Length

Max length	19
Median length	15
Mean length	8.9166667
Min length	5

Characters and Unicode

Total characters	7062
Distinct characters	40
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Buenos Aires
2nd row	Capital Federal
3rd row	Catamarca
4th row	Chaco
5th row	Chubut

Common Values

Value	Count	Frequency (%)
Buenos Aires	33	4.2%
Capital Federal	33	4.2%
Tierra Del Fuego	33	4.2%
Santiago Del Estero	33	4.2%
Santa Fe	33	4.2%
Santa Cruz	33	4.2%
San Luis	33	4.2%
San Juan	33	4.2%
Salta	33	4.2%
Río Negro	33	4.2%
Other values (14)	462	58.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
santa	66	5.3%
la	66	5.3%
del	66	5.3%
san	66	5.3%
entre	33	2.6%
rioja	33	2.6%
pampa	33	2.6%
jujuy	33	2.6%
formosa	33	2.6%
buenos	33	2.6%
Other values (24)	792	63.2%

Most occurring characters

Value	Count	Frequency (%)
a	924	13.1%
e	561	7.9%
o	495	7.0%
	462	6.5%
n	429	6.1%
u	429	6.1%
r	429	6.1%
t	330	4.7%
s	297	4.2%
i	297	4.2%
Other values (30)	2409	34.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5346	75.7%
Uppercase Letter	1254	17.8%
Space Separator	462	6.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	924	17.3%
e	561	10.5%
o	495	9.3%
n	429	8.0%
u	429	8.0%
r	429	8.0%
t	330	6.2%
s	297	5.6%
i	297	5.6%
l	165	3.1%
Other values (15)	990	18.5%

Uppercase Letter

Value	Count	Frequency (%)
C	231	18.4%
S	198	15.8%
F	132	10.5%
L	99	7.9%
R	99	7.9%
N	66	5.3%
M	66	5.3%
J	66	5.3%
E	66	5.3%
D	66	5.3%
Other values (4)	165	13.2%

Space Separator

Value	Count	Frequency (%)
	462	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6600	93.5%
Common	462	6.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	924	14.0%
e	561	8.5%
o	495	7.5%
n	429	6.5%
u	429	6.5%
r	429	6.5%
t	330	5.0%
s	297	4.5%
i	297	4.5%
C	231	3.5%
Other values (29)	2178	33.0%

Common

Value	Count	Frequency (%)
	462	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6897	97.7%
None	165	2.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	924	13.4%
e	561	8.1%
o	495	7.2%
	462	6.7%
n	429	6.2%
u	429	6.2%
r	429	6.2%
t	330	4.8%
s	297	4.3%
i	297	4.3%
Other values (26)	2244	32.5%

None

Value	Count	Frequency (%)
í	66	40.0%
ó	33	20.0%
é	33	20.0%
á	33	20.0%

HASTA 512 kbps
Real number (ℝ)

Distinct	366
Distinct (%)	46.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	125.92396

Minimum	1.007
Maximum	998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.3 KiB

Quantile statistics

Minimum	1.007
5-th percentile	1.52695
Q1	9.3645
median	48
Q3	135.5
95-th percentile	568
Maximum	998
Range	996.993
Interquartile range (IQR)	126.1355

Descriptive statistics

Standard deviation	190.10209
Coefficient of variation (CV)	1.5096578
Kurtosis	5.396598
Mean	125.92396
Median Absolute Deviation (MAD)	43.489
Skewness	2.2997132
Sum	99731.774
Variance	36138.803
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	20	2.5%
15	16	2.0%
10	15	1.9%
16	15	1.9%
18	14	1.8%
8	12	1.5%
67	12	1.5%
26	11	1.4%
6	11	1.4%
71	10	1.3%
Other values (356)	656	82.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.007	1	0.1%
1.009	1	0.1%
1.01	3	0.4%
1.011	1	0.1%
1.053	1	0.1%
1.058	1	0.1%
1.063	1	0.1%
1.107	1	0.1%
1.11	8	1.0%
1.119	1	0.1%

Value	Count	Frequency (%)
998	1	0.1%
991	1	0.1%
986	1	0.1%
973	1	0.1%
959	2	0.3%
958	3	0.4%
852	1	0.1%
847	1	0.1%
840	1	0.1%
791	1	0.1%

+ 512 Kbps - 1 Mbps
Real number (ℝ)

Distinct	596
Distinct (%)	75.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	97.393794

Minimum	0
Maximum	995
Zeros	50
Zeros (%)	6.3%
Negative	0
Negative (%)	0.0%
Memory size	6.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3.4915
median	8.8945
Q3	84
95-th percentile	554
Maximum	995
Range	995
Interquartile range (IQR)	80.5085

Descriptive statistics

Standard deviation	198.51095
Coefficient of variation (CV)	2.03823
Kurtosis	7.1758007
Mean	97.393794
Median Absolute Deviation (MAD)	7.5845
Skewness	2.7260485
Sum	77135.885
Variance	39406.597
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	50	6.3%
1	12	1.5%
4	10	1.3%
285	8	1.0%
97	8	1.0%
327	7	0.9%
109	7	0.9%
909	6	0.8%
112	6	0.8%
466	5	0.6%
Other values (586)	673	85.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	50	6.3%
1	12	1.5%
1.027	1	0.1%
1.058	1	0.1%
1.062	1	0.1%
1.077	1	0.1%
1.099	1	0.1%
1.123	1	0.1%
1.164	1	0.1%
1.169	1	0.1%

Value	Count	Frequency (%)
995	1	0.1%
987	1	0.1%
974	1	0.1%
940	2	0.3%
928	2	0.3%
909	6	0.8%
908	1	0.1%
900	1	0.1%
896	1	0.1%
894	1	0.1%

+ 1 Mbps - 6 Mbps
Categorical

HIGH CARDINALITY UNIFORM

Distinct	783
Distinct (%)	98.9%
Missing	0
Missing (%)	0.0%
Memory size	6.3 KiB

14.014	3
35.409	3
22.409	2
58.588	2
30.727	2
Other values (778)	780

Length

Max length	9
Median length	6
Mean length	6.2714646
Min length	5

Characters and Unicode

Total characters	4967
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	776 ?
Unique (%)	98.0%

Sample

1st row	313.382
2nd row	39.918
3rd row	4.386
4th row	16.888
5th row	61.369

Common Values

Value	Count	Frequency (%)
14.014	3	0.4%
35.409	3	0.4%
22.409	2	0.3%
58.588	2	0.3%
30.727	2	0.3%
40.285	2	0.3%
28.600	2	0.3%
415.075	1	0.1%
22.246	1	0.1%
87.994	1	0.1%
Other values (773)	773	97.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
14.014	3	0.4%
35.409	3	0.4%
22.409	2	0.3%
58.588	2	0.3%
30.727	2	0.3%
40.285	2	0.3%
28.600	2	0.3%
165.922	1	0.1%
22.141	1	0.1%
24.113	1	0.1%
Other values (773)	773	97.6%

Most occurring characters

Value	Count	Frequency (%)
.	828	16.7%
1	498	10.0%
2	485	9.8%
4	460	9.3%
3	451	9.1%
5	400	8.1%
8	396	8.0%
6	387	7.8%
0	363	7.3%
7	357	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4139	83.3%
Other Punctuation	828	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	498	12.0%
2	485	11.7%
4	460	11.1%
3	451	10.9%
5	400	9.7%
8	396	9.6%
6	387	9.4%
0	363	8.8%
7	357	8.6%
9	342	8.3%

Other Punctuation

Value	Count	Frequency (%)
.	828	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4967	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	828	16.7%
1	498	10.0%
2	485	9.8%
4	460	9.3%
3	451	9.1%
5	400	8.1%
8	396	8.0%
6	387	7.8%
0	363	7.3%
7	357	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4967	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	828	16.7%
1	498	10.0%
2	485	9.8%
4	460	9.3%
3	451	9.1%
5	400	8.1%
8	396	8.0%
6	387	7.8%
0	363	7.3%
7	357	7.2%

+ 6 Mbps - 10 Mbps
Real number (ℝ)

Distinct	709
Distinct (%)	89.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	72.779756

Minimum	0
Maximum	917
Zeros	38
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	6.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5.18675
median	19.966
Q3	63.17025
95-th percentile	325.9158
Maximum	917
Range	917
Interquartile range (IQR)	57.9835

Descriptive statistics

Standard deviation	143.43138
Coefficient of variation (CV)	1.9707593
Kurtosis	12.961731
Mean	72.779756
Median Absolute Deviation (MAD)	16.77
Skewness	3.4420732
Sum	57641.567
Variance	20572.561
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	38	4.8%
2	12	1.5%
1	4	0.5%
11	4	0.5%
655	3	0.4%
15	3	0.4%
1.337	2	0.3%
2.867	2	0.3%
14.101	2	0.3%
31	2	0.3%
Other values (699)	720	90.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	38	4.8%
1	4	0.5%
1.034	1	0.1%
1.066	1	0.1%
1.133	1	0.1%
1.165	1	0.1%
1.227	1	0.1%
1.311	1	0.1%
1.314	1	0.1%
1.321	1	0.1%

Value	Count	Frequency (%)
917	1	0.1%
902	1	0.1%
858	1	0.1%
855	1	0.1%
849	1	0.1%
792	1	0.1%
784	1	0.1%
779	1	0.1%
778	1	0.1%
775	1	0.1%

+ 10 Mbps - 20 Mbps
Real number (ℝ)

Distinct	678
Distinct (%)	85.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	82.715126

Minimum	0
Maximum	978
Zeros	71
Zeros (%)	9.0%
Negative	0
Negative (%)	0.0%
Memory size	6.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4.58225
median	14.852
Q3	56.48
95-th percentile	524.197
Maximum	978
Range	978
Interquartile range (IQR)	51.89775

Descriptive statistics

Standard deviation	174.83017
Coefficient of variation (CV)	2.1136421
Kurtosis	9.4745775
Mean	82.715126
Median Absolute Deviation (MAD)	12.6925
Skewness	3.0747897
Sum	65510.38
Variance	30565.59
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	71	9.0%
1	5	0.6%
5	4	0.5%
119	3	0.4%
10	3	0.4%
100	3	0.4%
531	2	0.3%
641	2	0.3%
111	2	0.3%
22.91	2	0.3%
Other values (668)	695	87.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	71	9.0%
1	5	0.6%
1.061	1	0.1%
1.062	1	0.1%
1.076	1	0.1%
1.085	1	0.1%
1.162	1	0.1%
1.172	1	0.1%
1.202	1	0.1%
1.203	1	0.1%

Value	Count	Frequency (%)
978	1	0.1%
966	1	0.1%
965	1	0.1%
958	1	0.1%
956	1	0.1%
920	1	0.1%
888	1	0.1%
886.678	1	0.1%
878	1	0.1%
832	1	0.1%

+ 20 Mbps - 30 Mbps
Real number (ℝ)

Distinct	540
Distinct (%)	68.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100.58282

Minimum	0
Maximum	997
Zeros	104
Zeros (%)	13.1%
Negative	0
Negative (%)	0.0%
Memory size	6.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	10.402
Q3	65.54025
95-th percentile	623
Maximum	997
Range	997
Interquartile range (IQR)	63.54025

Descriptive statistics

Standard deviation	207.78423
Coefficient of variation (CV)	2.0658025
Kurtosis	6.1517716
Mean	100.58282
Median Absolute Deviation (MAD)	10.402
Skewness	2.6103235
Sum	79661.59
Variance	43174.286
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	104	13.1%
1	24	3.0%
5	18	2.3%
2	13	1.6%
3	8	1.0%
4	7	0.9%
22	5	0.6%
29	5	0.6%
17	4	0.5%
41	4	0.5%
Other values (530)	600	75.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	104	13.1%
1	24	3.0%
1.032	1	0.1%
1.033	1	0.1%
1.068	1	0.1%
1.073	1	0.1%
1.084	1	0.1%
1.091	1	0.1%
1.135	1	0.1%
1.136	1	0.1%

Value	Count	Frequency (%)
997	1	0.1%
991	1	0.1%
979	1	0.1%
977	1	0.1%
969	1	0.1%
964	1	0.1%
961	1	0.1%
949.093	1	0.1%
941	1	0.1%
899	1	0.1%

+ 30 Mbps
Categorical

Distinct	503
Distinct (%)	63.5%
Missing	0
Missing (%)	0.0%
Memory size	6.3 KiB

0	112
2	39
1	19
3	15
4	14
Other values (498)	593

Length

Max length	9
Median length	6
Mean length	3.6376263
Min length	1

Characters and Unicode

Total characters	2881
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	457 ?
Unique (%)	57.7%

Sample

1st row	3.381.049
2nd row	1.188.072
3rd row	35.715
4th row	62.946
5th row	14.055

Common Values

Value	Count	Frequency (%)
0	112	14.1%
2	39	4.9%
1	19	2.4%
3	15	1.9%
4	14	1.8%
10	13	1.6%
5	9	1.1%
22	8	1.0%
9	7	0.9%
7	6	0.8%
Other values (493)	550	69.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0	112	14.1%
2	39	4.9%
1	19	2.4%
3	15	1.9%
4	14	1.8%
10	13	1.6%
5	9	1.1%
22	8	1.0%
9	7	0.9%
13	6	0.8%
Other values (493)	550	69.4%

Most occurring characters

Value	Count	Frequency (%)
.	382	13.3%
1	376	13.1%
2	336	11.7%
0	300	10.4%
3	230	8.0%
4	228	7.9%
7	219	7.6%
6	216	7.5%
9	204	7.1%
5	197	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2499	86.7%
Other Punctuation	382	13.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	376	15.0%
2	336	13.4%
0	300	12.0%
3	230	9.2%
4	228	9.1%
7	219	8.8%
6	216	8.6%
9	204	8.2%
5	197	7.9%
8	193	7.7%

Other Punctuation

Value	Count	Frequency (%)
.	382	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2881	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	382	13.3%
1	376	13.1%
2	336	11.7%
0	300	10.4%
3	230	8.0%
4	228	7.9%
7	219	7.6%
6	216	7.5%
9	204	7.1%
5	197	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2881	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	382	13.3%
1	376	13.1%
2	336	11.7%
0	300	10.4%
3	230	8.0%
4	228	7.9%
7	219	7.6%
6	216	7.5%
9	204	7.1%
5	197	6.8%

OTROS
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	255
Distinct (%)	32.4%
Missing	6
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	26.008611

Minimum	-1.945
Maximum	898
Zeros	449
Zeros (%)	56.7%
Negative	2
Negative (%)	0.3%
Memory size	6.3 KiB

Quantile statistics

Minimum	-1.945
5-th percentile	0
Q1	0
median	0
Q3	6.433
95-th percentile	91.5
Maximum	898
Range	899.945
Interquartile range (IQR)	6.433

Descriptive statistics

Standard deviation	113.77469
Coefficient of variation (CV)	4.3745008
Kurtosis	33.984303
Mean	26.008611
Median Absolute Deviation (MAD)	0
Skewness	5.792076
Sum	20442.768
Variance	12944.68
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	449	56.7%
2.151	8	1.0%
1.035	6	0.8%
6.105	6	0.8%
698	4	0.5%
3.719	4	0.5%
4.5	4	0.5%
1.618	4	0.5%
100	4	0.5%
4.779	3	0.4%
Other values (245)	294	37.1%
(Missing)	6	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1.945	1	0.1%
-1	1	0.1%
0	449	56.7%
1	2	0.3%
1.035	6	0.8%
1.123	1	0.1%
1.305	2	0.3%
1.313	1	0.1%
1.483	1	0.1%
1.492	1	0.1%

Value	Count	Frequency (%)
898	1	0.1%
895	1	0.1%
833	1	0.1%
803	1	0.1%
793	1	0.1%
792	1	0.1%
758	1	0.1%
735	2	0.3%
698	4	0.5%
687	1	0.1%

Total
Categorical

HIGH CARDINALITY UNIFORM

Distinct	787
Distinct (%)	99.4%
Missing	0
Missing (%)	0.0%
Memory size	6.3 KiB

14.029	3
35.710	3
33.772	2
4.555.424	1
106.947	1
Other values (782)	782

Length

Max length	9
Median length	7
Mean length	6.6767677
Min length	6

Characters and Unicode

Total characters	5288
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	784 ?
Unique (%)	99.0%

Sample

1st row	4.555.424
2nd row	1.417.541
3rd row	62.378
4th row	144.119
5th row	171.628

Common Values

Value	Count	Frequency (%)
14.029	3	0.4%
35.710	3	0.4%
33.772	2	0.3%
4.555.424	1	0.1%
106.947	1	0.1%
32.013	1	0.1%
561.542	1	0.1%
35.054	1	0.1%
151.631	1	0.1%
3.121.140	1	0.1%
Other values (777)	777	98.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
14.029	3	0.4%
35.710	3	0.4%
33.772	2	0.3%
1.412.119	1	0.1%
245.584	1	0.1%
84.303	1	0.1%
62.378	1	0.1%
144.119	1	0.1%
171.628	1	0.1%
1.003.803	1	0.1%
Other values (777)	777	98.1%

Most occurring characters

Value	Count	Frequency (%)
.	859	16.2%
1	650	12.3%
3	484	9.2%
2	460	8.7%
5	424	8.0%
6	421	8.0%
9	410	7.8%
0	401	7.6%
4	400	7.6%
7	400	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4429	83.8%
Other Punctuation	859	16.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	650	14.7%
3	484	10.9%
2	460	10.4%
5	424	9.6%
6	421	9.5%
9	410	9.3%
0	401	9.1%
4	400	9.0%
7	400	9.0%
8	379	8.6%

Other Punctuation

Value	Count	Frequency (%)
.	859	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5288	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	859	16.2%
1	650	12.3%
3	484	9.2%
2	460	8.7%
5	424	8.0%
6	421	8.0%
9	410	7.8%
0	401	7.6%
4	400	7.6%
7	400	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5288	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	859	16.2%
1	650	12.3%
3	484	9.2%
2	460	8.7%
5	424	8.0%
6	421	8.0%
9	410	7.8%
0	401	7.6%
4	400	7.6%
7	400	7.6%

Auto

Heatmap
Table

	Año	HASTA 512 kbps	+ 512 Kbps - 1 Mbps	+ 6 Mbps - 10 Mbps	+ 10 Mbps - 20 Mbps	+ 20 Mbps - 30 Mbps	OTROS	Trimestre	Provincia
Año	1.000	0.310	-0.008	0.142	0.152	0.325	0.740	0.133	0.000
HASTA 512 kbps	0.310	1.000	0.060	0.184	0.124	0.111	0.269	0.000	0.313
+ 512 Kbps - 1 Mbps	-0.008	0.060	1.000	0.151	0.167	-0.035	0.050	0.000	0.270
+ 6 Mbps - 10 Mbps	0.142	0.184	0.151	1.000	0.484	0.306	0.133	0.000	0.317
+ 10 Mbps - 20 Mbps	0.152	0.124	0.167	0.484	1.000	0.231	0.200	0.000	0.209
+ 20 Mbps - 30 Mbps	0.325	0.111	-0.035	0.306	0.231	1.000	0.266	0.000	0.191
OTROS	0.740	0.269	0.050	0.133	0.200	0.266	1.000	0.000	0.153
Trimestre	0.133	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000
Provincia	0.000	0.313	0.270	0.317	0.209	0.191	0.153	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Año	Trimestre	Provincia	HASTA 512 kbps	+ 512 Kbps - 1 Mbps	+ 1 Mbps - 6 Mbps	+ 6 Mbps - 10 Mbps	+ 10 Mbps - 20 Mbps	+ 20 Mbps - 30 Mbps	+ 30 Mbps	OTROS	Total
0	2022	1	Buenos Aires	31.591	30.056	313.382	321.756	290.127	161.183	3.381.049	26.280	4.555.424
1	2022	1	Capital Federal	527.000	5.575	39.918	77.390	61.053	43.289	1.188.072	1.717	1.417.541
2	2022	1	Catamarca	71.000	456.000	4.386	7.009	8.773	3.761	35.715	2.207	62.378
3	2022	1	Chaco	461.000	1.099	16.888	21.235	20.898	13.012	62.946	7.580	144.119
4	2022	1	Chubut	113.000	1.677	61.369	31.856	33.080	13.871	14.055	15.607	171.628
5	2022	1	Córdoba	100.000	12.782	165.922	126.009	73.967	34.892	577.027	13.104	1.003.803
6	2022	1	Corrientes	67.000	4.029	24.563	25.665	27.077	10.452	43.631	7.094	142.578
7	2022	1	Entre Ríos	107.000	5.745	50.075	49.620	42.294	21.578	81.757	16.750	267.926
8	2022	1	Formosa	97.000	448.000	24.113	6.945	6.613	716.000	15.028	588.000	54.548
9	2022	1	Jujuy	58.000	1.761	22.141	16.321	37.923	576.000	35.287	2.442	116.509

	Año	Trimestre	Provincia	HASTA 512 kbps	+ 512 Kbps - 1 Mbps	+ 1 Mbps - 6 Mbps	+ 6 Mbps - 10 Mbps	+ 10 Mbps - 20 Mbps	+ 20 Mbps - 30 Mbps	+ 30 Mbps	Total
782	2014	1	Neuquén	4.133	987.000	77.148	84.000	1.582	2.0	22	83.958
783	2014	1	Río Negro	4.670	4.618	84.304	73.000	1.062	1.0	8	94.736
784	2014	1	Salta	53.000	19.677	64.061	7.192	314.000	0.0	0	91.297
785	2014	1	San Juan	531.000	2.000	51.056	0.000	0.000	0.0	0	51.589
786	2014	1	San Luis	7.000	3.000	12.544	0.000	1.000	0.0	2	12.557
787	2014	1	Santa Cruz	161.000	1.625	24.972	1.000	1.000	0.0	0	26.760
788	2014	1	Santa Fe	8.456	124.468	345.225	20.328	6.845	23.0	668	506.013
789	2014	1	Santiago Del Estero	1.234	10.531	22.817	2.422	109.000	0.0	0	37.113
790	2014	1	Tierra Del Fuego	12.000	607.000	30.902	6.000	0.000	0.0	0	31.527
791	2014	1	Tucumán	6.000	34.672	83.210	11.779	362.000	3.0	0	130.032

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample